Dataset statistics
| Number of variables | 21 |
|---|---|
| Number of observations | 179078 |
| Missing cells | 513118 |
| Missing cells (%) | 13.6% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 28.7 MiB |
| Average record size in memory | 168.0 B |
Variable types
| Numeric | 8 |
|---|---|
| Categorical | 13 |
batsman has a high cardinality: 516 distinct values | High cardinality |
non_striker has a high cardinality: 511 distinct values | High cardinality |
bowler has a high cardinality: 405 distinct values | High cardinality |
player_dismissed has a high cardinality: 487 distinct values | High cardinality |
fielder has a high cardinality: 499 distinct values | High cardinality |
wide_runs is highly correlated with extra_runs | High correlation |
legbye_runs is highly correlated with extra_runs | High correlation |
batsman_runs is highly correlated with total_runs | High correlation |
extra_runs is highly correlated with wide_runs and 1 other fields | High correlation |
total_runs is highly correlated with batsman_runs | High correlation |
wide_runs is highly correlated with extra_runs | High correlation |
legbye_runs is highly correlated with extra_runs | High correlation |
batsman_runs is highly correlated with total_runs | High correlation |
extra_runs is highly correlated with wide_runs and 1 other fields | High correlation |
total_runs is highly correlated with batsman_runs | High correlation |
wide_runs is highly correlated with extra_runs | High correlation |
legbye_runs is highly correlated with extra_runs | High correlation |
batsman_runs is highly correlated with total_runs | High correlation |
extra_runs is highly correlated with wide_runs and 1 other fields | High correlation |
total_runs is highly correlated with batsman_runs | High correlation |
is_super_over is highly correlated with inning | High correlation |
bye_runs is highly correlated with dismissal_kind | High correlation |
penalty_runs is highly correlated with dismissal_kind | High correlation |
inning is highly correlated with is_super_over | High correlation |
dismissal_kind is highly correlated with bye_runs and 1 other fields | High correlation |
inning is highly correlated with is_super_over | High correlation |
is_super_over is highly correlated with inning | High correlation |
wide_runs is highly correlated with extra_runs and 1 other fields | High correlation |
bye_runs is highly correlated with extra_runs | High correlation |
legbye_runs is highly correlated with extra_runs | High correlation |
penalty_runs is highly correlated with extra_runs | High correlation |
batsman_runs is highly correlated with total_runs and 1 other fields | High correlation |
extra_runs is highly correlated with wide_runs and 4 other fields | High correlation |
total_runs is highly correlated with wide_runs and 3 other fields | High correlation |
dismissal_kind is highly correlated with batsman_runs and 1 other fields | High correlation |
player_dismissed has 170244 (95.1%) missing values | Missing |
dismissal_kind has 170244 (95.1%) missing values | Missing |
fielder has 172630 (96.4%) missing values | Missing |
wide_runs has 173673 (97.0%) zeros | Zeros |
legbye_runs has 176141 (98.4%) zeros | Zeros |
batsman_runs has 70845 (39.6%) zeros | Zeros |
extra_runs has 169541 (94.7%) zeros | Zeros |
total_runs has 63002 (35.2%) zeros | Zeros |
Reproduction
| Analysis started | 2021-11-02 07:41:54.568008 |
|---|---|
| Analysis finished | 2021-11-02 07:42:39.701862 |
| Duration | 45.13 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
match_id
Real number (ℝ≥0)
| Distinct | 756 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1802.252957 |
| Minimum | 1 |
|---|---|
| Maximum | 11415 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 38 |
| Q1 | 190 |
| median | 379 |
| Q3 | 567 |
| 95-th percentile | 11314 |
| Maximum | 11415 |
| Range | 11414 |
| Interquartile range (IQR) | 377 |
Descriptive statistics
| Standard deviation | 3472.322805 |
|---|---|
| Coefficient of variation (CV) | 1.926656739 |
| Kurtosis | 2.245787145 |
| Mean | 1802.252957 |
| Median Absolute Deviation (MAD) | 188 |
| Skewness | 1.996380528 |
| Sum | 322743855 |
| Variance | 12057025.66 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 126 | 267 | 0.1% |
| 34 | 263 | 0.1% |
| 534 | 262 | 0.1% |
| 476 | 262 | 0.1% |
| 388 | 261 | 0.1% |
| 190 | 259 | 0.1% |
| 570 | 259 | 0.1% |
| 536 | 258 | 0.1% |
| 401 | 258 | 0.1% |
| 257 | 257 | 0.1% |
| Other values (746) | 176472 |
| Value | Count | Frequency (%) |
| 1 | 248 | |
| 2 | 247 | |
| 3 | 218 | |
| 4 | 247 | |
| 5 | 248 | |
| 6 | 216 | |
| 7 | 254 | |
| 8 | 212 | |
| 9 | 226 | |
| 10 | 239 |
| Value | Count | Frequency (%) |
| 11415 | 248 | |
| 11414 | 239 | |
| 11413 | 252 | |
| 11412 | 237 | |
| 11347 | 228 | |
| 11346 | 235 | |
| 11345 | 246 | |
| 11344 | 224 | |
| 11343 | 234 | |
| 11342 | 249 |
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| 1 | |
|---|---|
| 2 | |
| 3 | 50 |
| 4 | 38 |
| 5 | 8 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 92742 | |
| 2 | 86240 | |
| 3 | 50 | < 0.1% |
| 4 | 38 | < 0.1% |
| 5 | 8 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 92742 | |
| 2 | 86240 | |
| 3 | 50 | < 0.1% |
| 4 | 38 | < 0.1% |
| 5 | 8 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
batting_team
Categorical
| Distinct | 14 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| Mumbai Indians | |
|---|---|
| Kings XI Punjab | |
| Royal Challengers Bangalore | |
| Kolkata Knight Riders | |
| Chennai Super Kings | |
| Other values (9) |
Length
| Max length | 27 |
|---|---|
| Median length | 16 |
| Mean length | 17.99314265 |
| Min length | 13 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Sunrisers Hyderabad |
|---|---|
| 2nd row | Sunrisers Hyderabad |
| 3rd row | Sunrisers Hyderabad |
| 4th row | Sunrisers Hyderabad |
| 5th row | Sunrisers Hyderabad |
Common Values
| Value | Count | Frequency (%) |
| Mumbai Indians | 22619 | |
| Kings XI Punjab | 20931 | |
| Royal Challengers Bangalore | 20908 | |
| Kolkata Knight Riders | 20858 | |
| Chennai Super Kings | 19762 | |
| Delhi Daredevils | 18786 | |
| Rajasthan Royals | 17292 | |
| Sunrisers Hyderabad | 12908 | |
| Deccan Chargers | 9034 | 5.0% |
| Pune Warriors | 5443 | 3.0% |
| Other values (4) | 10537 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| kings | 40693 | 9.1% |
| mumbai | 22619 | 5.1% |
| indians | 22619 | 5.1% |
| xi | 20931 | 4.7% |
| punjab | 20931 | 4.7% |
| royal | 20908 | 4.7% |
| challengers | 20908 | 4.7% |
| bangalore | 20908 | 4.7% |
| kolkata | 20858 | 4.7% |
| knight | 20858 | 4.7% |
| Other values (21) | 213444 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
bowling_team
Categorical
| Distinct | 14 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| Mumbai Indians | |
|---|---|
| Royal Challengers Bangalore | |
| Kolkata Knight Riders | |
| Kings XI Punjab | |
| Chennai Super Kings | |
| Other values (9) |
Length
| Max length | 27 |
|---|---|
| Median length | 16 |
| Mean length | 18.01460258 |
| Min length | 13 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Royal Challengers Bangalore |
|---|---|
| 2nd row | Royal Challengers Bangalore |
| 3rd row | Royal Challengers Bangalore |
| 4th row | Royal Challengers Bangalore |
| 5th row | Royal Challengers Bangalore |
Common Values
| Value | Count | Frequency (%) |
| Mumbai Indians | 22517 | |
| Royal Challengers Bangalore | 21236 | |
| Kolkata Knight Riders | 20940 | |
| Kings XI Punjab | 20782 | |
| Chennai Super Kings | 19556 | |
| Delhi Daredevils | 18725 | |
| Rajasthan Royals | 17382 | |
| Sunrisers Hyderabad | 12779 | |
| Deccan Chargers | 9039 | |
| Pune Warriors | 5457 | 3.0% |
| Other values (4) | 10665 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| kings | 40338 | 9.0% |
| mumbai | 22517 | 5.1% |
| indians | 22517 | 5.1% |
| royal | 21236 | 4.8% |
| challengers | 21236 | 4.8% |
| bangalore | 21236 | 4.8% |
| kolkata | 20940 | 4.7% |
| knight | 20940 | 4.7% |
| riders | 20940 | 4.7% |
| xi | 20782 | 4.7% |
| Other values (21) | 213145 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
over
Real number (ℝ≥0)
| Distinct | 20 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.16248785 |
| Minimum | 1 |
|---|---|
| Maximum | 20 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 5 |
| median | 10 |
| Q3 | 15 |
| 95-th percentile | 19 |
| Maximum | 20 |
| Range | 19 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 5.677684313 |
|---|---|
| Coefficient of variation (CV) | 0.558690391 |
| Kurtosis | -1.183356367 |
| Mean | 10.16248785 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.04901758304 |
| Sum | 1819878 |
| Variance | 32.23609916 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=20)
| Value | Count | Frequency (%) |
| 1 | 9603 | 5.4% |
| 2 | 9498 | 5.3% |
| 3 | 9415 | 5.3% |
| 4 | 9379 | 5.2% |
| 5 | 9345 | 5.2% |
| 6 | 9326 | 5.2% |
| 7 | 9283 | 5.2% |
| 8 | 9253 | 5.2% |
| 9 | 9231 | 5.2% |
| 10 | 9184 | 5.1% |
| Other values (10) | 85561 |
| Value | Count | Frequency (%) |
| 1 | 9603 | |
| 2 | 9498 | |
| 3 | 9415 | |
| 4 | 9379 | |
| 5 | 9345 | |
| 6 | 9326 | |
| 7 | 9283 | |
| 8 | 9253 | |
| 9 | 9231 | |
| 10 | 9184 |
| Value | Count | Frequency (%) |
| 20 | 6738 | |
| 19 | 7866 | |
| 18 | 8387 | |
| 17 | 8648 | |
| 16 | 8761 | |
| 15 | 8900 | |
| 14 | 8978 | |
| 13 | 9073 | |
| 12 | 9090 | |
| 11 | 9120 |
ball
Real number (ℝ≥0)
| Distinct | 9 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.615586504 |
| Minimum | 1 |
|---|---|
| Maximum | 9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 5 |
| 95-th percentile | 6 |
| Maximum | 9 |
| Range | 8 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 1.806965975 |
|---|---|
| Coefficient of variation (CV) | 0.4997711915 |
| Kurtosis | -1.083107949 |
| Mean | 3.615586504 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.09612230007 |
| Sum | 647472 |
| Variance | 3.265126035 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 1 | 29047 | |
| 2 | 28963 | |
| 3 | 28878 | |
| 4 | 28812 | |
| 5 | 28720 | |
| 6 | 28628 | |
| 7 | 5113 | 2.9% |
| 8 | 795 | 0.4% |
| 9 | 122 | 0.1% |
| Value | Count | Frequency (%) |
| 1 | 29047 | |
| 2 | 28963 | |
| 3 | 28878 | |
| 4 | 28812 | |
| 5 | 28720 | |
| 6 | 28628 | |
| 7 | 5113 | 2.9% |
| 8 | 795 | 0.4% |
| 9 | 122 | 0.1% |
| Value | Count | Frequency (%) |
| 9 | 122 | 0.1% |
| 8 | 795 | 0.4% |
| 7 | 5113 | 2.9% |
| 6 | 28628 | |
| 5 | 28720 | |
| 4 | 28812 | |
| 3 | 28878 | |
| 2 | 28963 | |
| 1 | 29047 |
| Distinct | 516 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| V Kohli | 4211 |
|---|---|
| SK Raina | 4044 |
| RG Sharma | 3816 |
| S Dhawan | 3776 |
| G Gambhir | 3524 |
| Other values (511) |
Length
| Max length | 20 |
|---|---|
| Median length | 9 |
| Mean length | 9.318967154 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 13 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | DA Warner |
|---|---|
| 2nd row | DA Warner |
| 3rd row | DA Warner |
| 4th row | DA Warner |
| 5th row | DA Warner |
Common Values
| Value | Count | Frequency (%) |
| V Kohli | 4211 | 2.4% |
| SK Raina | 4044 | 2.3% |
| RG Sharma | 3816 | 2.1% |
| S Dhawan | 3776 | 2.1% |
| G Gambhir | 3524 | 2.0% |
| RV Uthappa | 3492 | 1.9% |
| DA Warner | 3398 | 1.9% |
| MS Dhoni | 3318 | 1.9% |
| AM Rahane | 3215 | 1.8% |
| CH Gayle | 3131 | 1.7% |
| Other values (506) | 143153 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| s | 6778 | 1.8% |
| v | 6474 | 1.8% |
| singh | 4936 | 1.3% |
| da | 4774 | 1.3% |
| sr | 4683 | 1.3% |
| sharma | 4675 | 1.3% |
| m | 4395 | 1.2% |
| de | 4367 | 1.2% |
| sk | 4324 | 1.2% |
| kohli | 4231 | 1.2% |
| Other values (686) | 317432 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 511 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| SK Raina | 4173 |
|---|---|
| S Dhawan | 4090 |
| V Kohli | 4071 |
| RG Sharma | 3858 |
| G Gambhir | 3740 |
| Other values (506) |
Length
| Max length | 20 |
|---|---|
| Median length | 9 |
| Mean length | 9.320647986 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 4 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | S Dhawan |
|---|---|
| 2nd row | S Dhawan |
| 3rd row | S Dhawan |
| 4th row | S Dhawan |
| 5th row | S Dhawan |
Common Values
| Value | Count | Frequency (%) |
| SK Raina | 4173 | 2.3% |
| S Dhawan | 4090 | 2.3% |
| V Kohli | 4071 | 2.3% |
| RG Sharma | 3858 | 2.2% |
| G Gambhir | 3740 | 2.1% |
| AM Rahane | 3467 | 1.9% |
| RV Uthappa | 3381 | 1.9% |
| DA Warner | 3127 | 1.7% |
| CH Gayle | 3023 | 1.7% |
| AB de Villiers | 2996 | 1.7% |
| Other values (501) | 143152 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| s | 7043 | 1.9% |
| v | 6487 | 1.8% |
| sr | 4897 | 1.3% |
| sharma | 4806 | 1.3% |
| singh | 4695 | 1.3% |
| m | 4518 | 1.2% |
| da | 4491 | 1.2% |
| sk | 4423 | 1.2% |
| de | 4315 | 1.2% |
| dhawan | 4209 | 1.1% |
| Other values (684) | 317210 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 405 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| Harbhajan Singh | 3451 |
|---|---|
| A Mishra | 3172 |
| PP Chawla | 3157 |
| R Ashwin | 3016 |
| SL Malinga | 2974 |
| Other values (400) |
Length
| Max length | 17 |
|---|---|
| Median length | 9 |
| Mean length | 9.464836552 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | TS Mills |
|---|---|
| 2nd row | TS Mills |
| 3rd row | TS Mills |
| 4th row | TS Mills |
| 5th row | TS Mills |
Common Values
| Value | Count | Frequency (%) |
| Harbhajan Singh | 3451 | 1.9% |
| A Mishra | 3172 | 1.8% |
| PP Chawla | 3157 | 1.8% |
| R Ashwin | 3016 | 1.7% |
| SL Malinga | 2974 | 1.7% |
| DJ Bravo | 2711 | 1.5% |
| B Kumar | 2707 | 1.5% |
| P Kumar | 2637 | 1.5% |
| UT Yadav | 2605 | 1.5% |
| SP Narine | 2600 | 1.5% |
| Other values (395) | 150048 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| r | 9707 | 2.7% |
| singh | 9243 | 2.5% |
| sharma | 9188 | 2.5% |
| a | 8586 | 2.4% |
| kumar | 7561 | 2.1% |
| s | 6896 | 1.9% |
| m | 6348 | 1.7% |
| p | 5150 | 1.4% |
| pp | 5102 | 1.4% |
| b | 4200 | 1.2% |
| Other values (559) | 292640 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| 0 | |
|---|---|
| 1 | 81 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 178997 | |
| 1 | 81 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 178997 | |
| 1 | 81 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 6 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.03672142865 |
| Minimum | 0 |
|---|---|
| Maximum | 5 |
| Zeros | 173673 |
| Zeros (%) | 97.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 5 |
| Range | 5 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.2511611312 |
|---|---|
| Coefficient of variation (CV) | 6.839633981 |
| Kurtosis | 191.6858792 |
| Mean | 0.03672142865 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 11.66307776 |
| Sum | 6576 |
| Variance | 0.06308191384 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0 | 173673 | |
| 1 | 4915 | 2.7% |
| 2 | 230 | 0.1% |
| 5 | 208 | 0.1% |
| 3 | 47 | < 0.1% |
| 4 | 5 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 173673 | |
| 1 | 4915 | 2.7% |
| 2 | 230 | 0.1% |
| 3 | 47 | < 0.1% |
| 4 | 5 | < 0.1% |
| 5 | 208 | 0.1% |
| Value | Count | Frequency (%) |
| 5 | 208 | 0.1% |
| 4 | 5 | < 0.1% |
| 3 | 47 | < 0.1% |
| 2 | 230 | 0.1% |
| 1 | 4915 | 2.7% |
| 0 | 173673 |
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| 0 | |
|---|---|
| 1 | 324 |
| 4 | 123 |
| 2 | 31 |
| 3 | 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 178598 | |
| 1 | 324 | 0.2% |
| 4 | 123 | 0.1% |
| 2 | 31 | < 0.1% |
| 3 | 2 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 178598 | |
| 1 | 324 | 0.2% |
| 4 | 123 | 0.1% |
| 2 | 31 | < 0.1% |
| 3 | 2 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 6 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.02113604128 |
| Minimum | 0 |
|---|---|
| Maximum | 5 |
| Zeros | 176141 |
| Zeros (%) | 98.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 5 |
| Range | 5 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.1949082998 |
|---|---|
| Coefficient of variation (CV) | 9.221608588 |
| Kurtosis | 242.3265243 |
| Mean | 0.02113604128 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 13.77728696 |
| Sum | 3785 |
| Variance | 0.03798924532 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0 | 176141 | |
| 1 | 2558 | 1.4% |
| 4 | 220 | 0.1% |
| 2 | 138 | 0.1% |
| 3 | 17 | < 0.1% |
| 5 | 4 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 176141 | |
| 1 | 2558 | 1.4% |
| 2 | 138 | 0.1% |
| 3 | 17 | < 0.1% |
| 4 | 220 | 0.1% |
| 5 | 4 | < 0.1% |
| Value | Count | Frequency (%) |
| 5 | 4 | < 0.1% |
| 4 | 220 | 0.1% |
| 3 | 17 | < 0.1% |
| 2 | 138 | 0.1% |
| 1 | 2558 | 1.4% |
| 0 | 176141 |
noball_runs
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| 0 | |
|---|---|
| 1 | 698 |
| 2 | 9 |
| 5 | 6 |
| 3 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 178364 | |
| 1 | 698 | 0.4% |
| 2 | 9 | < 0.1% |
| 5 | 6 | < 0.1% |
| 3 | 1 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 178364 | |
| 1 | 698 | 0.4% |
| 2 | 9 | < 0.1% |
| 5 | 6 | < 0.1% |
| 3 | 1 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| 0 | |
|---|---|
| 5 | 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 179076 | |
| 5 | 2 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 179076 | |
| 5 | 2 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 8 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.246864495 |
| Minimum | 0 |
|---|---|
| Maximum | 7 |
| Zeros | 70845 |
| Zeros (%) | 39.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 1 |
| 95-th percentile | 4 |
| Maximum | 7 |
| Range | 7 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.608270266 |
|---|---|
| Coefficient of variation (CV) | 1.289851682 |
| Kurtosis | 1.632692902 |
| Mean | 1.246864495 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.582522721 |
| Sum | 223286 |
| Variance | 2.586533248 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 0 | 70845 | |
| 1 | 67523 | |
| 4 | 20392 | 11.4% |
| 2 | 11471 | 6.4% |
| 6 | 8170 | 4.6% |
| 3 | 587 | 0.3% |
| 5 | 79 | < 0.1% |
| 7 | 11 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 70845 | |
| 1 | 67523 | |
| 2 | 11471 | 6.4% |
| 3 | 587 | 0.3% |
| 4 | 20392 | 11.4% |
| 5 | 79 | < 0.1% |
| 6 | 8170 | 4.6% |
| 7 | 11 | < 0.1% |
| Value | Count | Frequency (%) |
| 7 | 11 | < 0.1% |
| 6 | 8170 | 4.6% |
| 5 | 79 | < 0.1% |
| 4 | 20392 | 11.4% |
| 3 | 587 | 0.3% |
| 2 | 11471 | 6.4% |
| 1 | 67523 | |
| 0 | 70845 |
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.06703224293 |
| Minimum | 0 |
|---|---|
| Maximum | 7 |
| Zeros | 169541 |
| Zeros (%) | 94.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 1 |
| Maximum | 7 |
| Range | 7 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.3425529326 |
|---|---|
| Coefficient of variation (CV) | 5.110271082 |
| Kurtosis | 91.227968 |
| Mean | 0.06703224293 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 8.234162663 |
| Sum | 12004 |
| Variance | 0.1173425116 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 169541 | |
| 1 | 8495 | 4.7% |
| 2 | 407 | 0.2% |
| 4 | 348 | 0.2% |
| 5 | 219 | 0.1% |
| 3 | 67 | < 0.1% |
| 7 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 169541 | |
| 1 | 8495 | 4.7% |
| 2 | 407 | 0.2% |
| 3 | 67 | < 0.1% |
| 4 | 348 | 0.2% |
| 5 | 219 | 0.1% |
| 7 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 7 | 1 | < 0.1% |
| 5 | 219 | 0.1% |
| 4 | 348 | 0.2% |
| 3 | 67 | < 0.1% |
| 2 | 407 | 0.2% |
| 1 | 8495 | 4.7% |
| 0 | 169541 |
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.313896738 |
| Minimum | 0 |
|---|---|
| Maximum | 10 |
| Zeros | 63002 |
| Zeros (%) | 35.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 1 |
| 95-th percentile | 4 |
| Maximum | 10 |
| Range | 10 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.605421643 |
|---|---|
| Coefficient of variation (CV) | 1.221878095 |
| Kurtosis | 1.640138506 |
| Mean | 1.313896738 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.556932828 |
| Sum | 235290 |
| Variance | 2.57737865 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 73059 | |
| 0 | 63002 | |
| 4 | 20599 | 11.5% |
| 2 | 13125 | 7.3% |
| 6 | 8148 | 4.5% |
| 3 | 688 | 0.4% |
| 5 | 339 | 0.2% |
| 8 | 64 | < 0.1% |
| 7 | 38 | < 0.1% |
| 10 | 16 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 63002 | |
| 1 | 73059 | |
| 2 | 13125 | 7.3% |
| 3 | 688 | 0.4% |
| 4 | 20599 | 11.5% |
| 5 | 339 | 0.2% |
| 6 | 8148 | 4.5% |
| 7 | 38 | < 0.1% |
| 8 | 64 | < 0.1% |
| 10 | 16 | < 0.1% |
| Value | Count | Frequency (%) |
| 10 | 16 | < 0.1% |
| 8 | 64 | < 0.1% |
| 7 | 38 | < 0.1% |
| 6 | 8148 | 4.5% |
| 5 | 339 | 0.2% |
| 4 | 20599 | 11.5% |
| 3 | 688 | 0.4% |
| 2 | 13125 | 7.3% |
| 1 | 73059 | |
| 0 | 63002 |
| Distinct | 487 |
|---|---|
| Distinct (%) | 5.5% |
| Missing | 170244 |
| Missing (%) | 95.1% |
| Memory size | 1.4 MiB |
| SK Raina | 162 |
|---|---|
| RG Sharma | 155 |
| RV Uthappa | 153 |
| V Kohli | 143 |
| S Dhawan | 137 |
| Other values (482) |
Length
| Max length | 20 |
|---|---|
| Median length | 9 |
| Mean length | 9.35340729 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 80 ? |
|---|---|
| Unique (%) | 0.9% |
Sample
| 1st row | DA Warner |
|---|---|
| 2nd row | S Dhawan |
| 3rd row | MC Henriques |
| 4th row | Yuvraj Singh |
| 5th row | Mandeep Singh |
Common Values
| Value | Count | Frequency (%) |
| SK Raina | 162 | 0.1% |
| RG Sharma | 155 | 0.1% |
| RV Uthappa | 153 | 0.1% |
| V Kohli | 143 | 0.1% |
| S Dhawan | 137 | 0.1% |
| G Gambhir | 136 | 0.1% |
| KD Karthik | 135 | 0.1% |
| PA Patel | 126 | 0.1% |
| AM Rahane | 116 | 0.1% |
| AT Rayudu | 115 | 0.1% |
| Other values (477) | 7456 | 4.2% |
| (Missing) | 170244 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| singh | 316 | 1.7% |
| s | 311 | 1.7% |
| v | 261 | 1.4% |
| r | 246 | 1.4% |
| m | 241 | 1.3% |
| sharma | 237 | 1.3% |
| sk | 189 | 1.0% |
| patel | 189 | 1.0% |
| sr | 184 | 1.0% |
| de | 175 | 1.0% |
| Other values (653) | 15744 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 9 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 170244 |
| Missing (%) | 95.1% |
| Memory size | 1.4 MiB |
| caught | |
|---|---|
| bowled | |
| run out | |
| lbw | |
| stumped | 278 |
| Other values (4) | 235 |
Length
| Max length | 21 |
|---|---|
| Median length | 6 |
| Mean length | 6.223341635 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | caught |
|---|---|
| 2nd row | caught |
| 3rd row | caught |
| 4th row | bowled |
| 5th row | bowled |
Common Values
| Value | Count | Frequency (%) |
| caught | 5348 | 3.0% |
| bowled | 1581 | 0.9% |
| run out | 852 | 0.5% |
| lbw | 540 | 0.3% |
| stumped | 278 | 0.2% |
| caught and bowled | 211 | 0.1% |
| retired hurt | 12 | < 0.1% |
| hit wicket | 10 | < 0.1% |
| obstructing the field | 2 | < 0.1% |
| (Missing) | 170244 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| caught | 5559 | |
| bowled | 1792 | 17.7% |
| run | 852 | 8.4% |
| out | 852 | 8.4% |
| lbw | 540 | 5.3% |
| stumped | 278 | 2.7% |
| and | 211 | 2.1% |
| retired | 12 | 0.1% |
| hurt | 12 | 0.1% |
| hit | 10 | 0.1% |
| Other values (4) | 16 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 499 |
|---|---|
| Distinct (%) | 7.7% |
| Missing | 172630 |
| Missing (%) | 96.4% |
| Memory size | 1.4 MiB |
| MS Dhoni | 159 |
|---|---|
| KD Karthik | 152 |
| RV Uthappa | 125 |
| SK Raina | 115 |
| AB de Villiers | 114 |
| Other values (494) |
Length
| Max length | 21 |
|---|---|
| Median length | 9 |
| Mean length | 9.462779156 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 93 ? |
|---|---|
| Unique (%) | 1.4% |
Sample
| 1st row | Mandeep Singh |
|---|---|
| 2nd row | Sachin Baby |
| 3rd row | Sachin Baby |
| 4th row | DA Warner |
| 5th row | BCJ Cutting |
Common Values
| Value | Count | Frequency (%) |
| MS Dhoni | 159 | 0.1% |
| KD Karthik | 152 | 0.1% |
| RV Uthappa | 125 | 0.1% |
| SK Raina | 115 | 0.1% |
| AB de Villiers | 114 | 0.1% |
| PA Patel | 97 | 0.1% |
| RG Sharma | 92 | 0.1% |
| V Kohli | 90 | 0.1% |
| KA Pollard | 85 | < 0.1% |
| WP Saha | 82 | < 0.1% |
| Other values (489) | 5337 | 3.0% |
| (Missing) | 172630 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| singh | 204 | 1.5% |
| r | 202 | 1.5% |
| s | 198 | 1.5% |
| ms | 194 | 1.5% |
| m | 192 | 1.4% |
| sharma | 188 | 1.4% |
| de | 169 | 1.3% |
| karthik | 166 | 1.2% |
| patel | 164 | 1.2% |
| dhoni | 159 | 1.2% |
| Other values (618) | 11488 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| match_id | inning | batting_team | bowling_team | over | ball | batsman | non_striker | bowler | is_super_over | wide_runs | bye_runs | legbye_runs | noball_runs | penalty_runs | batsman_runs | extra_runs | total_runs | player_dismissed | dismissal_kind | fielder | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 1 | Sunrisers Hyderabad | Royal Challengers Bangalore | 1 | 1 | DA Warner | S Dhawan | TS Mills | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN |
| 1 | 1 | 1 | Sunrisers Hyderabad | Royal Challengers Bangalore | 1 | 2 | DA Warner | S Dhawan | TS Mills | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN |
| 2 | 1 | 1 | Sunrisers Hyderabad | Royal Challengers Bangalore | 1 | 3 | DA Warner | S Dhawan | TS Mills | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | NaN | NaN | NaN |
| 3 | 1 | 1 | Sunrisers Hyderabad | Royal Challengers Bangalore | 1 | 4 | DA Warner | S Dhawan | TS Mills | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN |
| 4 | 1 | 1 | Sunrisers Hyderabad | Royal Challengers Bangalore | 1 | 5 | DA Warner | S Dhawan | TS Mills | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | NaN | NaN | NaN |
| 5 | 1 | 1 | Sunrisers Hyderabad | Royal Challengers Bangalore | 1 | 6 | S Dhawan | DA Warner | TS Mills | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN |
| 6 | 1 | 1 | Sunrisers Hyderabad | Royal Challengers Bangalore | 1 | 7 | S Dhawan | DA Warner | TS Mills | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | NaN | NaN | NaN |
| 7 | 1 | 1 | Sunrisers Hyderabad | Royal Challengers Bangalore | 2 | 1 | S Dhawan | DA Warner | A Choudhary | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | NaN | NaN | NaN |
| 8 | 1 | 1 | Sunrisers Hyderabad | Royal Challengers Bangalore | 2 | 2 | DA Warner | S Dhawan | A Choudhary | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | NaN | NaN | NaN |
| 9 | 1 | 1 | Sunrisers Hyderabad | Royal Challengers Bangalore | 2 | 3 | DA Warner | S Dhawan | A Choudhary | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | NaN | NaN | NaN |
Last rows
| match_id | inning | batting_team | bowling_team | over | ball | batsman | non_striker | bowler | is_super_over | wide_runs | bye_runs | legbye_runs | noball_runs | penalty_runs | batsman_runs | extra_runs | total_runs | player_dismissed | dismissal_kind | fielder | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 179068 | 11415 | 2 | Chennai Super Kings | Mumbai Indians | 19 | 3 | RA Jadeja | SR Watson | JJ Bumrah | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | NaN | NaN | NaN |
| 179069 | 11415 | 2 | Chennai Super Kings | Mumbai Indians | 19 | 4 | RA Jadeja | SR Watson | JJ Bumrah | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN |
| 179070 | 11415 | 2 | Chennai Super Kings | Mumbai Indians | 19 | 5 | RA Jadeja | SR Watson | JJ Bumrah | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | NaN | NaN | NaN |
| 179071 | 11415 | 2 | Chennai Super Kings | Mumbai Indians | 19 | 6 | RA Jadeja | SR Watson | JJ Bumrah | 0 | 0 | 4 | 0 | 0 | 0 | 4 | 4 | 8 | NaN | NaN | NaN |
| 179072 | 11415 | 2 | Chennai Super Kings | Mumbai Indians | 20 | 1 | SR Watson | RA Jadeja | SL Malinga | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | NaN | NaN | NaN |
| 179073 | 11415 | 2 | Chennai Super Kings | Mumbai Indians | 20 | 2 | RA Jadeja | SR Watson | SL Malinga | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | NaN | NaN | NaN |
| 179074 | 11415 | 2 | Chennai Super Kings | Mumbai Indians | 20 | 3 | SR Watson | RA Jadeja | SL Malinga | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | NaN | NaN | NaN |
| 179075 | 11415 | 2 | Chennai Super Kings | Mumbai Indians | 20 | 4 | SR Watson | RA Jadeja | SL Malinga | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | SR Watson | run out | KH Pandya |
| 179076 | 11415 | 2 | Chennai Super Kings | Mumbai Indians | 20 | 5 | SN Thakur | RA Jadeja | SL Malinga | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | NaN | NaN | NaN |
| 179077 | 11415 | 2 | Chennai Super Kings | Mumbai Indians | 20 | 6 | SN Thakur | RA Jadeja | SL Malinga | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | SN Thakur | lbw | NaN |